Local functional principal component analysis [PDF]
Complex Analysis and Operator Theory, 2007 Covariance operators of random functions are crucial tools to study the way random elements concentrate over their support. The principal component analysis of a random function X is well-known from a theoretical viewpoint and extensively used in ...
Mas, André
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U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014) [PDF]
International Journal of Behavioral Nutrition and Physical Activity, 2023 Background Suboptimal rest-activity patterns in adolescence are associated with worse health outcomes in adulthood. Understanding sociodemographic factors associated with rest-activity rhythms may help identify subgroups who may benefit from ...
Chris Ho Ching Yeung +4 more
doaj +2 more sources
Fast Multilevel Functional Principal Component Analysis. [PDF]
J Comput Graph Stat, 2023 We introduce fast multilevel functional principal component analysis (fast MFPCA), which scales up to high dimensional functional data measured at multiple visits. The new approach is orders of magnitude faster than and achieves comparable estimation accuracy with the original MFPCA (Di et al., 2009).
Cui E, Li R, Crainiceanu CM, Xiao L.
europepmc +3 more sources
Multilevel functional principal component analysis
The Annals of Applied Statistics, 2009 The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its impacts on health outcomes. A primary metric of the SHHS is the in-home polysomnogram, which includes two electroencephalographic (EEG) channels for each subject, at ...
Caffo, Brian S. +3 more
core +6 more sources
Longitudinal Viral Load Clustering for People With HIV Using Functional Principal Component Analysis [PDF]
AIDS Research and TreatmentDiscussion: The findings highlight the impact of continuous clustering in understanding the distinct viral profiles of PWH and emphasize the importance of tailored treatment and insights to target interventions for all PWH.
Yunqing Ma +5 more
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Trajectory modeling of gestational weight: A functional principal component analysis approach. [PDF]
PLoS ONE, 2017 Suboptimal gestational weight gain (GWG), which is linked to increased risk of adverse outcomes for a pregnant woman and her infant, is prevalent. In the study of a large cohort of Canadian pregnant women, our goals are to estimate the individual weight ...
Menglu Che +3 more
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Structured functional principal component analysis. [PDF]
Biometrics, 2015 Summary Motivated by modern observational studies, we introduce a class of functional models that expand nested and crossed designs. These models account for the natural inheritance of the correlation structures from sampling designs in studies where the fundamental unit is a function or image. Inference is based on functional quadratics
Shou H +3 more
europepmc +6 more sources
Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis [PDF]
International Journal of Behavioral Nutrition and Physical Activity, 2022 Background The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being.
Qian Xiao +5 more
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Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data [PDF]
BMC Medical Research Methodology, 2022 Background Longitudinal studies are important to understand patterns of growth in children and limited in India. It is important to identify an approach for characterising growth trajectories to distinguish between children who have healthy growth and ...
Reka Karuppusami +2 more
doaj +2 more sources
Functional principal component analysis and sparse-group LASSO to identify associations between biomarker trajectories and mortality among hospitalized SARS-CoV-2 infected individuals [PDF]
BMC Medical Research Methodology, 2023 Background A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe SARS-CoV-2 outcomes, including ...
Tingyi Cao +2 more
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